Categories
Digital Marketing Google Ads Shopify

Google Ads Dynamic Remarketing for Shopify

Last Updated: September 25, 2020

STEP 1
Activate Dynamic Remarketing in Google

  1. Go to Google Ads > Tools & Settings > Shared Library > Audience Manager > Audience Sources
  2. Click Set up tag in the “Google Ads tag” card
  3. Remarketing: Choose “Collect data on specific actions…
  4. Business Type: Choose “Retail
  5. Retail Parameters: Select All Parameters
  6. Click Save and continue.
  7. Click on Install Tag Yourself
  8. In the first code box, look for the number at the end of the first line of code and write it down or copy it. This is your Google Conversion Id — you will need it in the next step.
<!-- Global site tag (gtag.js) - Google Ads: 123456789 -->
  1. Click Continue and then Done

STEP 2
Install the Remarketing Code in Theme.liquid

In your store’s admin section go to:

  • Online Store > Themes > Actions > Edit Code
  • Expand the Snippets section and choose Add new snippet
  • Call the snippet “adwords-remarketing
  • Paste the code below into the snippet
  • Enter your google_conversion_id that you obtained in Step 1.8 above.
{% comment %}
Google Ads Dynamic Remarketing Script by Alex Czartoryski
https://business.czarto.com/2017/02/07/shopify-dynamic-remarketing-setup/

This version: Sept 30, 2020
The latest version of this script available here:
https://github.com/Czarto/ShopifyScripts/blob/master/snippets/adwords-remarketing.liquid
{% endcomment %}

{% comment %}Set to false if GTAG is already loaded on the page. Leave to true if unsure.{%endcomment%}
{% assign load_gtag = true %}

{% comment %} Enter your google conversion id below {% endcomment %}
{% assign google_conversion_id = 123456789 %}

{% assign shopify_store_country  = 'US' %}
{% if shop.currency == 'CAD' %}
{% assign shopify_store_country  = 'CA' %}
{% elsif shop.currency == 'AUD' %}
{% assign shopify_store_country  = 'AU' %}
{% endif %}

{%if load_gtag %}
<!-- Global site tag (gtag.js) -->
<script async src="https://www.googletagmanager.com/gtag/js?id=AW-{{ google_conversion_id }}"></script>
{% endif %}
<script>
  window.dataLayer = window.dataLayer || [];
  function gtag(){dataLayer.push(arguments);}
  gtag('js', new Date());
  gtag('config', 'AW-{{ google_conversion_id }}');
</script>

{% assign google_event = false %}
{% assign google_items = false %}
{% assign google_value = false %}
{% if template contains 'cart' %}
	{% assign google_event = 'add_to_cart' %}
	{% capture google_items %}{% for item in cart.items %}{'id':'shopify_{{ shopify_store_country  }}_{{ item.product.id }}_{{ item.variant.id }}','google_business_vertical': 'retail'}{% unless forloop.last %}, {% endunless %}{% endfor %}{% endcapture %}
	{% assign google_value = cart.total_price %}
{% elsif template contains 'collection' %}
	{% assign google_event = 'view_item_list' %}
	{% capture google_items %}{% for item in collection.products limit:5 %}{'id':'shopify_{{ shopify_store_country  }}_{{ item.id }}_{{ item.variants.first.id }}','google_business_vertical': 'retail'}{% unless forloop.last %}, {% endunless %}{% endfor %}{% endcapture %}
{% elsif template contains 'product' %}
	{% assign google_event = 'view_item' %}
	{% capture google_items %}{'id':'shopify_{{ shopify_store_country  }}_{{ product.id }}_{{ product.selected_or_first_available_variant.id }}','google_business_vertical': 'retail'}{% endcapture %}
	{% assign google_value = product.selected_or_first_available_variant.price %}
{% elsif template contains 'search' %}
	{% assign google_event = 'view_search_results' %}
	{% capture google_items %}{% for item in search.results limit:5 %}{'id':'shopify_{{ shopify_store_country  }}_{{ item.id }}_{{ item.variants.first.id }}','google_business_vertical': 'retail'}{% unless forloop.last %}, {% endunless %}{% endfor %}{% endcapture %}
{% endif %}

{% if google_event %}
<script>
	gtag('event', '{{ google_event }}', {
	  'send_to': 'AW-{{ google_conversion_id }}',
	  {% if google_value %}'value': '{{ google_value | divided_by: 100.0 }}',{% endif %}
	  'items': [{{ google_items }}]
	});
</script>
{% endif %}

The latest version of this code is available on Github

Add snippet to your Theme file

Open up Layout > theme.liquid and add the following line of code before the closing </head> tag:

{% include 'adwords-remarketing' %}

STEP 3
Install Remarketing in the Checkout Scripts

  • In the very bottom left hand corner the Shopify Admin choose Settings and then Checkout
  • Scroll down to the Additional Scripts section.
  • Copy and paste the code below into the “Additional Scripts” field and update google_conversion_id with your value from step 1.8 as before.
{% comment %}
Google Ads Dynamic Remarkting Script by Alex Czartoryski https://business.czarto.com/

This version: Sep 30, 2020
The latest version of this script available here:
https://github.com/Czarto/ShopifyScripts/blob/master/settings/checkout/adwords-remarketing.liquid
{% endcomment %}

{% comment %}Set to false if GTAG is already loaded on the page. Leave to true if unsure.{%endcomment%}
{% assign load_gtag = true %}

{% if first_time_accessed %}
{% comment %} Enter your account specific values below {% endcomment %}
{% assign google_conversion_id = "123456789" %}

{% assign shopify_store_country  = 'US' %}
{% if shop.currency == 'CAD' %}
{% assign shopify_store_country  = 'CA' %}
{% elsif shop.currency == 'AUD' %}
{% assign shopify_store_country  = 'AU' %}
{% endif %}


{%if load_gtag %}
<!-- Global site tag (gtag.js) -->
<script async src="https://www.googletagmanager.com/gtag/js?id=AW-{{ google_conversion_id }}"></script>
{% endif %}
<script>
  window.dataLayer = window.dataLayer || [];
  function gtag(){dataLayer.push(arguments);}
  gtag('js', new Date());
  gtag('config', 'AW-{{ google_conversion_id }}');
</script>

<!-- Event snippet for Web Order conversion page -->
<script>
    // Google Ads Remarketing
    gtag('event', 'purchase', {
	  'send_to': 'AW-{{ google_conversion_id }}',
	  'value': '{{ total_price | divided_by: 100.0 }}',
	  'items': [{% for item in order.line_items %}{'id':'shopify_{{ shopify_store_country }}_{{ item.product.id }}_{{ item.variant.id }}','google_business_vertical': 'retail'}{% unless forloop.last %}, {% endunless %}{% endfor %}]
	});
</script>

{% endif %}

Download the lastest version from Github

STEP 4
Verification

Once you’ve installed all your code, it’s time to run through your main pages (collection, product, cart, and purchase pages) with Google Tag Assistant installed to make sure there are no errors.

Next Steps
Configure your Remarketing Audiences

Now that your store is collecting dynamic remarketing data, the next step is to properly organize and segment your visitors into Purchasers, Cart Abandoners and Product Viewers. This is covered in the next post about Google Ads Remarketing Audiences.

Additional Reading…

Categories
Digital Marketing Google Ads

Google Ads Remarketing Campaign Structure

Remarketing Theory

  1. The deeper a user is in your sales funnel, the more likely he is to buy. A shopping cart abandoner is more likely to buy than a product browser who is more likely to buy than someone who briefly visited your homepage.
  2. The more recent the user’s visit, the more likely he is to buy. A user who visited your site yesterday is more likely to buy than a user who visited your site 10 days ago.
  3. The more likely a user is to buy, the more you want to bid on that user.

Audiences

Please read the post Essential Google Ads Remarketing Audiences and follow the instructions to create your remarketing audiences.

Campaign Setup

Create one campaign per major market you are targeting, and give them a descriptive name:

  • USA: Display Remarketing
  • Canada: Display Remarketing

Generally, but not always, you will want a separate campaign for every unique currency and language you are targeting.

Core Ad Groups

Creating only these two ad groups will generate 90% of your display remarketing conversions . I highly recommend you start with only these two. Only add more groups (described later) if the extra 10% in remarketing sales will justify the extra administrative complexity.

1. Cart Abandoners

This ad group will target cart abandoners: Visitors who added a product to their cart but never purchased. Dynamic Product ads perform particularly well with cart abandonment, as your visitors are shown the exact products that they added to their cart.

Audiences:
  • Cart Abandoners – 1 day
  • Cart Abandoners – 4 day

2. Product Viewers

This ad group will target users who visited a product details page but who never added a product to their cart.

Audiences:
  • Product Viewers – 7 day
  • Product Viewers – 28 day

Optional Ad Groups

Here are additional remarketing ad groups and audiences. In my experience, most conversions come from the two core ad groups identified above (Cart Abandoners and Product Viewers) but you may have a different experience depending on your business.

Just Purchased

This will show ads to people who have just purchased. This is a good place to possibly push micro conversions such as joining a loyalty program, joining a community, etc… Or perhaps up-selling them another related product?

Audience
  • Purchase 7 days

Past Customers

This is similar to the “Just Purchased” ad group, but with a longer time window. This will show ads to people that have previously purchased a product 30 or more days ago. This is a good place to advertise new product launches or promotions.

Audience
  • Purchase 30 days
  • Purchase 90 days
  • Purchase 360 days

Never Purchased

This is the opposite of the “Past Customers” group. These are people who visited your site in the past year, but have never purchased. This is also a good place to advertise new product launches or promotions.

Audience
  • Site Visitors 30 days
  • Site Visitors 90 days
  • Site Visitors 360 days
Exclude Audience
  • Purchase 360 days

New Customers, Brand Unaware

This isn’t really remarketing, but simple display advertising: These are people who have never visited your site. Your remarketing audiences are EXCLUDED so that you are only targeting people who are unaware of your product or brand. You are arguably willing to pay more for each customer as they are new customers, but this will be your worst performing segment. You can waste a lot of money here, so be careful.

Audience
  • Combination of keyword, interest, topic, and placement targeting relevant to your product and brand.
Exclude Audience:
  • Site Visitors 360 days

Other Tips

Exclude “low quality” visitors

You will have to create these audience groups within Google Analytics, and then exclude them from all your remarketing campaigns:

  • Exclude people who have bounced
  • Exclude people who have spent less than ten seconds on the site

Exclude Mobile App Placements

Exclude placements where users are unlikely to interact with your ad, or where they may accidentally click your ad, such as in mobile apps and games.

To exclude mobile apps, go to your ad group and then select:

  • Placements > Exclusions tab > Exclude placements
  • App Categories > Expand All App Categories, and exclude all app categories individually
  • Repeat for all your display ad groups

Exclude YouTube Placements

YouTube tracks View Through Conversions as if they were Click Through Conversions. This leads to attribution poaching, and makes your display campaigns appear to perform much better than they actually do. This ultimately causes you to increase bids and budgets, and overspend.

To exclude YouTube placements, go to: Campaign Settings > Additional Settings > Content Exclusions and select all of the following for exclusion:

  • Live streaming YouTube video
  • Embedded video
  • In-video

Frequency Capping

Most resources online will tell you to limit your frequency cap to about 20 times per user per month, but I suspect this is wrong. That means a user will be exposed to your ad once every other day or so, with no guarantee that he actually noticed it.

I normally set the frequency capping to 20 times per user PER DAY. If you think of how many web pages you visit in a day, 20 ads will be gone fairly quickly and you will probably miss most of them. Add in that for cart abandonment ads you really want to hit the abandoners hard within the first 24 hours, I think the 20 impressions per day is the safer bet.

But the true answer will vary based on your business, product, and customers.

A word about View Through Conversions

View Through Conversions are conversions where a display ad appeared on the screen, was NOT clicked, but the user ended up purchasing on your site sometime later. In general I recommend that everyone IGNORE View Through Conversions, in particular in remarketing campaigns.

What usually happens, is that an ad is displayed on screen, the visitor may not even see it, but clicks instead on a cart-abandonment e-mail and makes the purchase. AdWords will credit that conversion to the view through.

The one exception is for “brand unaware” customers. These are customers that have never visited your website before. If such a customer sees you ad, and purchases, then the odds are better that it was a result of your ad.

In an ideal world, there would be a simple way to test the value of your view-through-conversions, as they are different for every segment, and every business.

Other Resources

Categories
Analytics Digital Marketing Google Ads

Why doesn’t my Ad Spend Scale?

Consider this Scenario:

You spend $1,000 on a new Ad Campaign that generates $10,000 in revenue. “That’s a great ROI” you tell yourself, “Let’s double the spend!“.

When you double the budget to $2,000, your Campaign only generates $12,500 in total sales and not the $20,000 you were expecting. Why?

SpendSalesCost of SalesROAS
Ad Campaign #1$1,000$10,00010%1000%
Ad Campaign #2$2,000$12,50016%625%
Increasing spend by $1,000 only resulted in $2,500 in additional revenue: An incremental cost of sales of 40% and an incremental ROAS of 250%

Why doesn’t it scale?

By scale I mean that your ROI should be linear: If the first $1,000 generates $10,000 in sales, then the next $1,000 should also generate $10,000 in sales.

The issue is that rarely is your campaign performance evenly distributed. If your drill down deeper into your initial $1000 Campaign, you might see the spend broken down into something like this:

SpendSales%COSROAS
Branded$200$8,0002.5%4000%
Unbranded$800$2,00040%250%
$1000 Campaign$1,000$10,00010%1000%
Majority of the sales are being generated by a small subset of the overall campaign. A classic 80/20 scenario. The performance of the Branded ad set is subsidizing the cost of the unbranded ad set.

The performance of the Branded subset is subsidizing the cost of the Unbranded subset. 80% of your sales are coming from only 20% of the spend, while 80% of your spend is going towards an underperforming segment.

When we try to double the budget to $2,000, here is how the budget gets allocated:

SpendSalesCOSROAS
Branded$200$8,0002.5%4000%
Unbranded$1,800$4,50040%250%
$2,000 Campaign$2,000$12,50016%625%
When budget is doubled, most of the spend goes towards the underperforming segment, resulting in disappointing incremental sales.

With this new data in mind, we should probably:

  1. Decrease budget on the Unbranded segment
  2. Increase budget on the Branded segment

However, it is probably the case that your performing segment is already receiving 100% reach/impressions. So spending more is usually not possible. (In particular for Google Search Ads targeting your branded term: How much you can spend is a function of how many people are searching for your brand. Once you reach everyone, spending more can’t get you more people).

If you want to increase your spend, the only place to do so is in the underperforming unbranded campaign. But at least you’ll have a better expectation of the results.

Summary

  • Avoid making budget decisions on aggregate data. Always try to segment and dig a little deeper.
  • Don’t let underperforming segments ride the coat tails of your top performers. Look for 80/20 campaign and ad group performance and analyze those individually.
  • For Google Search Ads, always separate your Branded search terms and Unbranded search terms into separate campaigns.
Categories
Digital Marketing Google Ads Shopify Shopping

Add Microdata to your Shopify Product Pages (with variant support)

If you are using Google Merchant Center to with Shopify then you have likely ran into an issue where Merchant Center will give you a warning that there is insufficient match of micro-data information and that automatic item updates are no longer being performed.

merchant-center-warning
Insufficient micro-data warnings in Google Merchant Center

This is generally due to incorrect or incomplete micro-data on your product page.

Product.liquid

All the required edits should be limited to your Product.liquid file. You need to define a Product itemscope which will have properties such as Product Url, Product Image, Product Title, and Product Description.

Nested within the Product will be an Offer itemscope that will contain the product variant’s price, currency, condition, and availability.

What complicates things is that most Shopify Themes will have at least a partial implementation of micro-data, and are perhaps only missing a few items, or perhaps don’t fully support variants.

A good idea would be to first run your product page through Google’s Structured Data Testing Tool to see which tags already exist.

Product ItemScope

1. Open your product.liquid file and add the Product itemscope property to the outer most div. The first line of your product.liquid should look something like this: 

<div itemscope itemtype="http://schema.org/Product">

2. Directly below this line, you should add the product variant’s url and image markup as so:

<meta itemprop="url" content="{{ shop.url }}{{ product.selected_or_first_available_variant.url }}" />
<meta itemprop="image" content="https:{{ product.selected_or_first_available_variant.image.src | product_img_url: 'grande' }}" />

3. Find where your product’s title and description are displayed, and add itemprop=name and itemprop=description attributes as shown below:

<!-- Product Title -->
<h1 itemprop="name">{{ product.title }}</h1>
<!-- Product description -->
<div class="product-description" itemprop="description">
{{ product.description }}
</div>

Offer ItemScope

4. Now you need to find the place in your product.liquid file where you display your price. Find a wrapping div tag and add the Offers itemscope attributes to the tag. The Offers itemscope MUST nested within the Product itemscope div tag.

<div itemprop="offers" itemscope itemtype="http://schema.org/Offer">

5. Immediately after this line you can add the product variant’s price, currency, condition, and availability microdata as so:

<meta itemprop="priceCurrency" content="{{ shop.currency }}" />
<meta itemprop="price" content="{{ product.selected_or_first_available_variant.price | money_without_currency | remove: ',' }}" />
<meta itemprop="itemCondition" itemtype="http://schema.org/OfferItemCondition" content="http://schema.org/NewCondition"/>
{% if product.selected_or_first_available_variant.available %}
  <link itemprop="availability" href="http://schema.org/InStock" />
{% else %}
  <link itemprop="availability" href="http://schema.org/OutOfStock" />
{% endif %}

Putting it all together

Once done, your product.liquid should have roughly the following structure.

<!-- BEGIN Product itemscope -->
<div itemscope itemtype="http://schema.org/Product">
  <meta itemprop="url" content="{{ shop.url }}{{ product.selected_or_first_available_variant.url }}" />
  <meta itemprop="image" content="https:{{ product.selected_or_first_available_variant.image.src | product_img_url: 'grande' }}" />
 
  <!-- Product Title & Description -->
  <h1 itemprop="name">{{ product.title }}</h1>
  <div class="product-description" itemprop="description">
  {{ product.description }}</div>
  <!-- BEGIN Offer itemscope -->
  <div itemprop="offers" itemscope itemtype="http://schema.org/Offer">
    <meta itemprop="priceCurrency" content="{{ shop.currency }}" />
    <meta itemprop="price" content="{{ product.selected_or_first_available_variant.price | money_without_currency | remove: ',' }}" />
    <meta itemprop="itemCondition" itemtype="http://schema.org/OfferItemCondition" content="http://schema.org/NewCondition"/>
    {% if product.selected_or_first_available_variant.available %}
      <link itemprop="availability" href="http://schema.org/InStock" />
    {% else %}
      <link itemprop="availability" href="http://schema.org/OutOfStock" />
    {% endif %}
  </div>
</div>

Final Steps

  1. Save and test your new product page in Google’s Structured Data Testing Tool, and fix all errors if any.
  2. Wait and check back periodically in Google Merchant center to ensure no new errors were introduced. It will take a few weeks before the “unable to update” warning disappears.

Related Reading

Categories
Facebook Ads Shopify

DIY Facebook Product Feed for Shopify

WARNING! I am no longer updating / maintaining this code. It should still work but use at your own risk.

UPDATE Oct 10, 2019: I have switched to using the Shopify Facebook Marketing App to sync my product catalogs with Facebook. Although not perfect, it does the job well enough!

UPDATE Dec 11, 2019: Shopify Facebook Marketing App does not upload all product attributes (Product Type is missing). If you need these missing attributes, I have documented a way to upload the missing data via a custom xml feed.

Below is a free customizable DIY solution to create a Facebook Product Feed in Shopify.

  1. This is an advanced topic and assumes you have the required understanding of HTML/XML/Liquid, the Shopify Store Admin and Facebook Business Manager.
  2. There are several existing paid apps that allow you to do this without coding (Flexify and DataFeedWatch) and a free app (Facebook Marketing App by Shopify).

1. Install the Google Shopping Channel

Install Shopify’s free Google Shopping app. This will allow you to configure product properties such as Age Group, Gender, and Product Category.

2. Create an XML Collection Template

Create a custom collection template that will output your products as XML instead of HTML.

  • In the Shopify admin, go to Online Store > Themes > Action > Edit Code
  • Under Templates, choose Add a new Template
  • Choose collection from the drop down and name your template fb-product-feed

Paste the code below into your new template and click Save. (Best to copy the code from this link: Shopify Facebook Product Feed Template)

{% layout none %}<?xml version="1.0"?>
<rss xmlns:g="http://base.google.com/ns/1.0" version="2.0">
{%- paginate collection.products by 1000 -%}
{%- assign CountryCode = 'US' -%}
{%- if shop.currency == 'CAD' -%}{%- assign CountryCode = 'CA' -%}{%- endif -%}
{%- assign PriceAdjustment = 1.0 -%}
{%- assign PriceAdjustmentEffectiveDate =  '20181226T080000-0500/20190102T235900-0800' -%}

<channel>
<title>{{ shop.name }} {{ collection.title | replace: '&', '&' }}</title>
<link>{{ shop.url }}</link>
<description>{{ collection.description | strip_html }}</description>
{%- for product in collection.products -%} 
  {%- assign GoogleProductCategory = product.metafields.mm-google-shopping.google_product_category -%}
  {%- assign Gender = product.metafields.mm-google-shopping.gender -%}
  {%- assign AgeGroup = product.metafields.mm-google-shopping.age_group -%}
  {%- assign Color = "" -%}
  {%- assign Size = "" -%}

  {%- if product.variants.size > 0 -%}
  {%- for variant in product.variants -%}
    {%- for option in product.options -%}
  	  {%- if option == 'Color' -%}{% capture Color %}{{ variant.options[forloop.index0] }}{% endcapture %}
  	  {%- elsif option == 'Size' -%}{% capture Size %}{{ variant.options[forloop.index0] }}{% endcapture %}
  	  {%- endif -%}
    {%- endfor -%}

    {% comment %} Calculate Sales vs Base Pricing {% endcomment %} 
    {%- if variant.compare_at_price == blank -%}
      {%- assign BasePrice = variant.price -%}
    {%- else -%}
      {%- assign BasePrice = variant.compare_at_price -%}
    {%- endif -%}
    {%- assign SalePrice = variant.price | times: PriceAdjustment -%}

<item>
<title>{{ product.title | strip_html | strip_newlines | replace: '&', '&' }}{% unless product.title contains Color %} {{ Color | replace: '&', '&' }}{% endunless %}</title>
<link>{{ shop.url }}{{ variant.url }}</link>
<description>{{ product.title | strip_html | strip_newlines | replace: '&', '&' }} {{ variant.title | strip_html | strip_newlines | replace: '&', '&' }} {{ product.description | replace: '</', ' </' | strip_html | strip_newlines | replace: '&', '&' }}</description>
<g:google_product_category>{{ GoogleProductCategory | replace: '&', '&'  }}</g:google_product_category>
<g:item_group_id>{{ product.id }}</g:item_group_id>
<g:id>{{ variant.id }}</g:id>
<g:condition>new</g:condition>
<g:price>{{ BasePrice | money_without_currency }} {{ shop.currency }}</g:price>
{%- if SalePrice < BasePrice -%}<g:sale_price>{{ SalePrice  | money_without_currency }} {{ shop.currency }}</g:sale_price>{%-  endif -%}
{%- if PriceAdjustment < 1 -%}<g:sale_price_effective_date>{{ PriceAdjustmentEffectiveDate }}</g:sale_price_effective_date>{%- endif -%}
<g:availability>{% if variant.available %}in stock{% else %}out of stock{% endif %}</g:availability>
<g:image_link>http:{% if variant.image.src %}{{ variant.image.src | product_img_url: 'grande' }}{% else %}{{ product.featured_image.src | product_img_url: 'grande' }}{% endif %}</g:image_link>
<g:gtin>{{ variant.barcode }}</g:gtin>
<g:brand>{{ product.vendor }}</g:brand>
<g:mpn>{{ variant.sku }}</g:mpn>
<g:product_type>{{ product.type | replace: '&', '&' }}</g:product_type>
<g:age_group>{{ AgeGroup }}</g:age_group>
{% unless Color == "" %}<g:color>{{ Color | strip_html | strip_newlines | replace: '&', '&' }}</g:color>{% endunless %}
{% unless Size == "" %}<g:size>{{ Size | strip_html | strip_newlines | replace: '&', '&' }}</g:size><g:size_system>US</g:size_system>{% endunless %}
<g:gender>{{ Gender }}</g:gender>
<g:custom_label_0>{{ product.metafields.mm-google-shopping.custom_label_0 }}</g:custom_label_0>
<g:custom_label_1>{{ product.metafields.mm-google-shopping.custom_label_1 }}</g:custom_label_1>
<g:custom_label_2>{{ product.metafields.mm-google-shopping.custom_label_2 }}</g:custom_label_2>
<g:custom_label_3>{{ product.metafields.mm-google-shopping.custom_label_3 }}</g:custom_label_3>
<g:custom_label_4>{{ product.metafields.mm-google-shopping.custom_label_4 }}</g:custom_label_4>
<g:shipping_weight>{{ variant.weight | weight_with_unit }}</g:shipping_weight>
</item>

  {% endfor %}
  {% else %}

  {% comment %} Calculate Sales vs Base Pricing {% endcomment %} 
  {%- if product.compare_at_price_min == blank -%}
    {%- assign BasePrice = product.price -%}
  {%- else -%}
    {%- assign BasePrice = product.compare_at_price_min -%}
  {%- endif -%}
  {%- assign SalePrice = product.price | times: PriceAdjustment -%}

<item>
<title>{{ product.title | strip_html | strip_newlines | replace: '&', '&' }}</title>
<link>{{ shop.url }}{{ product.url }}</link>
<description>{{ product.title | strip_html | strip_newlines | replace: '&', '&' }} {{ product.description | replace: '</', ' </' | strip_html | strip_newlines | replace: '&', '&' }}</description>
<g:google_product_category>{{ GoogleProductCategory | replace: '&', '&'  }}</g:google_product_category>
<g:item_group_id>{{ product.id }}</g:item_group_id>
<g:id>{{ product.id }}</g:id>
<g:condition>new</g:condition>
<g:price>{{ BasePrice | money_without_currency }} {{ shop.currency }}</g:price>
{%- if SalePrice < BasePrice -%}<g:sale_price>{{ SalePrice  | money_without_currency }} {{ shop.currency }}</g:sale_price>{%-  endif -%}
{%- if PriceAdjustment < 1 -%}<g:sale_price_effective_date>{{ PriceAdjustmentEffectiveDate }}</g:sale_price_effective_date>{%- endif -%}
<g:availability>{% if product.available %}in stock{% else %}out of stock{% endif %}</g:availability>
<g:image_link>http:{{ product.featured_image.src | product_img_url: 'grande' }}</g:image_link>
<g:gtin>{{ product.barcode }}</g:gtin>
<g:brand>{{ product.vendor }}</g:brand>
<g:mpn>{{ product.sku }}</g:mpn>
<g:product_type>{{ product.type }}</g:product_type>
<g:age_group>{{ AgeGroup }}</g:age_group>
<g:gender>{{ Gender }}</g:gender>
<g:custom_label_0>{{ product.metafields.mm-google-shopping.custom_label_0 }}</g:custom_label_0>
<g:custom_label_1>{{ product.metafields.mm-google-shopping.custom_label_1 }}</g:custom_label_1>
<g:custom_label_2>{{ product.metafields.mm-google-shopping.custom_label_2 }}</g:custom_label_2>
<g:custom_label_3>{{ product.metafields.mm-google-shopping.custom_label_3 }}</g:custom_label_3>
<g:custom_label_4>{{ product.metafields.mm-google-shopping.custom_label_4 }}</g:custom_label_4>
<g:shipping_weight>{{ variant.weight | weight_with_unit }}</g:shipping_weight>
</item>
  {% endif %}
{% endfor %}
</channel>
</rss>
{% endpaginate %}

or Download from Github:  Shopify Facebook Product Feed Template

3. Assign products to your Feed

In Step 2 you created your feed template. Now you need to assign products to this feed:

  • In Shopify Admin, go to Products > Collections > Create Collection
  • Enter a Title: “Facebook Product Feed”
  • Add Products to the collection (either manually or using conditions)
  • IMPORTANT! Assign your feed TEMPLATE to this collection.
    In the bottom right column choose collection.fb-product-feed as the Theme Template.
  • Save and Preview the collection. You should see unformatted text on the screen. This is your Facebook feed.
  • Copy the url as you need it in the next step.

4. Upload your Feed to Facebook

  • In Facebook Business Manager go to Assets > Catalogs > Create Catalog.
  • Catalog Type: E-Commerce
  • Click Add ProductsUse Datafeed
  • Enter the feed collection url you copied in step 3 above. Leave the username & password blank. Choose a time for your daily upload to occur (early morning is usually a good time). Choose your currency.
  • Click Start Upload and wait for the feed to be fetched and processed.
  • Fix errors: If there are errors, go back, fix them, re-fetch, and keep doing so until the feed is error free. Sometimes it is necessary to delete and re-create your catalog in Facebook for some changes to appear.
  • If you have more than 1000 product variants, you will need to submit multiple feeds with a ?page=x querystring appended like so: http://mystore.myshopify.com/collections/facebook-product-feed?page=1 (This will send products 1-1000) and http://mystore.myshopify.com/collections/facebook-product-feed?page=2 (This will send products 1001-2000)

5. Prevent the Facebook Feed from Showing on your Store

Depending on how your store is setup, you may need to add some code to prevent your Facebook feed collection from showing up on your store. The exact way to do this may depend on your theme, but generally you will want to have an “unless” statement within the loop that displays your collections:

{% unless collection.title contains "Facebook" %}
... your collection code ...
{% endunless %}

Done!

You are now ready to setup your Dynamic Product Remarketing campaigns!

Related Posts

Categories
Attribution Digital Marketing Facebook Ads Google Ads

The Value of View Through Conversions

My personal experience with View Through Conversions (VTCs) is that they provide very little real world lift in sales, in particular when dealing with lower funnel remarketing campaigns. The value increases if you are advertising to a brand-unaware audience, but the value is likely still very small.

But what is the actual value of a View Through Conversion vs a Click Through Conversion? You can theoretically calculate this by running a placebo A/B test of your actual ad vs a Public Service Announcement ad.

Below is such an A/B test that was run on the AdRoll network back in 2013:

Placebo A/B Tests to Measure View Through Conversions

Display Network A/B Test

You will likely need assistance from your Ad Platform or agency to properly run this sort of test, and to properly segregate the A and B groups.

Setup a Placebo A/B Test

  1. Create 2 separate (but equal) non-overlapping campaigns
  2. Campaign A will serve your “normal” ad
    Campaign B will serve a Public Service Announcement ad
  3. Run both campaigns for a few weeks
  4. Calculate VTC “lift” as follows:
Valid VTC Formula

Real Life Example

Campaign A
(Real Ad)
Campaign B
(PSA Ad)
Impressions99,46797,412
VTCs329261
Data from a real world A/B test performed in 2013 on the AdRoll network

VTC “Lift” = (329 – 261) / 329 = 20%

In this real life example, the irrelevant PSA Ads still managed to generate 80% of the View Through Conversion volume that the real ad generated. To be more clear, 261 people saw an ad to adopt a cat, and later went to BOATERexam.com to purchase a boating license.

So 80% of VTCs can be given a value of zero. Of the remaining 20%, more analysis is needed to figure out exactly how they influenced sales. The Real Ad did seem to generate more VTCs than the PSA ad, but the real question is those VTCs result in extra incremental sales or are they simply tracking sales generated by another channel such as e-mail? I don’t have a scientific answer to this, but anecdotally, I think the answer is that the VTCs did NOT result in incremental sales.

NOTE: A few years later we ran a similar Placebo A/B test on Facebook with the help of SocialCode. That test showed ZERO lift from VTCs, and the PSA Ads actually outperformed the real ads from a VTC standpoint!

So how should you value View Through Conversions?

Here are my recommendations:

  • Give View Through Conversions a value of ZERO. Unless you can prove otherwise via an A/B test, assume VTCs are not providing any lift to your campaigns. This is especially true for re-marketing campaigns as the visitors have previously visited your site, and may be actively engaged in checkout when the ad is shown.
  • Run your own Placebo A/B test. If someone insists on using VTCs in performance metrics, then you should insist on running an A/B test to calculate the true value. You should run at least two tests: One for remarketing audiences and another for brand-unaware audiences.
  • Be cautious and skeptical of anyone pushing the value of VTCs especially if they are an ad agency or ad platform that will benefit from including the extra VTCs in their performance metrics.